Pub Date : 2024-11-05Epub Date: 2024-09-25DOI: 10.1097/CM9.0000000000003213
Qiong Tian, Li Hu, Ruimin Bai, Rui Ge, Jian Zhang
{"title":"Changes in the epidemiological burden of melanoma in China from 1990 to 2019 based on the Global Burden of Disease.","authors":"Qiong Tian, Li Hu, Ruimin Bai, Rui Ge, Jian Zhang","doi":"10.1097/CM9.0000000000003213","DOIUrl":"10.1097/CM9.0000000000003213","url":null,"abstract":"","PeriodicalId":10183,"journal":{"name":"Chinese Medical Journal","volume":" ","pages":"2636-2637"},"PeriodicalIF":4.4,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11557007/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142342686","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-05Epub Date: 2024-09-27DOI: 10.1097/CM9.0000000000003158
Durong Chen, Sitian Li, Yifei Ma, Shujun Xu, Ali Dong, Zhibin Xu, Jiantao Li, Lijian Lei, Lu He, Tong Wang, Hongmei Yu, Jun Xie
{"title":"Epidemiological survey and risk factors for COVID-19 infection among students following downgraded management: A cross-sectional study.","authors":"Durong Chen, Sitian Li, Yifei Ma, Shujun Xu, Ali Dong, Zhibin Xu, Jiantao Li, Lijian Lei, Lu He, Tong Wang, Hongmei Yu, Jun Xie","doi":"10.1097/CM9.0000000000003158","DOIUrl":"10.1097/CM9.0000000000003158","url":null,"abstract":"","PeriodicalId":10183,"journal":{"name":"Chinese Medical Journal","volume":" ","pages":"2621-2623"},"PeriodicalIF":7.5,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11537559/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142342689","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-05DOI: 10.1097/CM9.0000000000003314
Chih-Yuan Ko, Li Zhang, Zhixing Zhu, Yiming Zeng
{"title":"Association between imbalanced gut microecology and obstructive sleep apnea-associated hypertension: A prospective observational study.","authors":"Chih-Yuan Ko, Li Zhang, Zhixing Zhu, Yiming Zeng","doi":"10.1097/CM9.0000000000003314","DOIUrl":"https://doi.org/10.1097/CM9.0000000000003314","url":null,"abstract":"","PeriodicalId":10183,"journal":{"name":"Chinese Medical Journal","volume":" ","pages":""},"PeriodicalIF":7.5,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142575329","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-05Epub Date: 2024-09-19DOI: 10.1097/CM9.0000000000003302
Io Nam Wong, Olivia Monteiro, Daniel T Baptista-Hon, Kai Wang, Wenyang Lu, Zhuo Sun, Sheng Nie, Yun Yin
Abstract: Recent advancements in the field of medical artificial intelligence (AI) have led to the widespread adoption of foundational and large language models. This review paper explores their applications within medical AI, introducing a novel classification framework that categorizes them as disease-specific, general-domain, and multi-modal models. The paper also addresses key challenges such as data acquisition and augmentation, including issues related to data volume, annotation, multi-modal fusion, and privacy concerns. Additionally, it discusses the evaluation, validation, limitations, and regulation of medical AI models, emphasizing their transformative potential in healthcare. The importance of continuous improvement, data security, standardized evaluations, and collaborative approaches is highlighted to ensure the responsible and effective integration of AI into clinical applications.
{"title":"Leveraging foundation and large language models in medical artificial intelligence.","authors":"Io Nam Wong, Olivia Monteiro, Daniel T Baptista-Hon, Kai Wang, Wenyang Lu, Zhuo Sun, Sheng Nie, Yun Yin","doi":"10.1097/CM9.0000000000003302","DOIUrl":"10.1097/CM9.0000000000003302","url":null,"abstract":"<p><strong>Abstract: </strong>Recent advancements in the field of medical artificial intelligence (AI) have led to the widespread adoption of foundational and large language models. This review paper explores their applications within medical AI, introducing a novel classification framework that categorizes them as disease-specific, general-domain, and multi-modal models. The paper also addresses key challenges such as data acquisition and augmentation, including issues related to data volume, annotation, multi-modal fusion, and privacy concerns. Additionally, it discusses the evaluation, validation, limitations, and regulation of medical AI models, emphasizing their transformative potential in healthcare. The importance of continuous improvement, data security, standardized evaluations, and collaborative approaches is highlighted to ensure the responsible and effective integration of AI into clinical applications.</p>","PeriodicalId":10183,"journal":{"name":"Chinese Medical Journal","volume":"137 21","pages":"2529-2539"},"PeriodicalIF":7.5,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11556979/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142575376","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-05DOI: 10.1097/CM9.0000000000003366
Ahmed Elgendi
{"title":"The unmet needs for minimally invasive liver surgery training.","authors":"Ahmed Elgendi","doi":"10.1097/CM9.0000000000003366","DOIUrl":"https://doi.org/10.1097/CM9.0000000000003366","url":null,"abstract":"","PeriodicalId":10183,"journal":{"name":"Chinese Medical Journal","volume":" ","pages":""},"PeriodicalIF":7.5,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142575352","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-05Epub Date: 2024-09-27DOI: 10.1097/CM9.0000000000003305
Hongxing Wang
{"title":"Sensory neurology: A new neurology subspecialty and opportunity.","authors":"Hongxing Wang","doi":"10.1097/CM9.0000000000003305","DOIUrl":"10.1097/CM9.0000000000003305","url":null,"abstract":"","PeriodicalId":10183,"journal":{"name":"Chinese Medical Journal","volume":" ","pages":"2564-2566"},"PeriodicalIF":7.5,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11557094/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142342696","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-05DOI: 10.1097/CM9.0000000000003372
{"title":"Corrigendum: Berberine might block colorectal carcinogenesis by inhibiting the regulation of B-cell function by Veillonella parvula.","authors":"","doi":"10.1097/CM9.0000000000003372","DOIUrl":"10.1097/CM9.0000000000003372","url":null,"abstract":"","PeriodicalId":10183,"journal":{"name":"Chinese Medical Journal","volume":"137 21","pages":"2602"},"PeriodicalIF":4.4,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11557031/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142575375","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-11-05Epub Date: 2024-09-23DOI: 10.1097/CM9.0000000000003294
Yishan Li, Qin Wang, Lin Li, Shaohua Yuan, Hui Chen, Rutian Li, Fangcen Liu
{"title":"Exploration of the immunologic characteristics of KIT/PDGFRA wild-type gastrointestinal stromal tumor and potential application of neoantigen vaccination.","authors":"Yishan Li, Qin Wang, Lin Li, Shaohua Yuan, Hui Chen, Rutian Li, Fangcen Liu","doi":"10.1097/CM9.0000000000003294","DOIUrl":"10.1097/CM9.0000000000003294","url":null,"abstract":"","PeriodicalId":10183,"journal":{"name":"Chinese Medical Journal","volume":" ","pages":"2627-2629"},"PeriodicalIF":4.4,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11556965/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142281181","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Background: Thyroid cancer (TC) is the most common malignancy of the endocrine system. This study aimed to assess the global distribution of TC incidence and mortality in 2022, as well as to predict the burden for the year 2050.
Methods: Data from the GLOBOCAN 2022 database were used to analyze the age-standardized incidence and mortality rates of TC by sex, age group (<55 years and ≥55 years), country, world region, and level of Human Development Index (HDI) for 185 countries. The predicted incidence and mortality burden for 2050 was calculated based on demographic projections.
Results: In 2022, an estimated 821,214 new TC cases and 47,507 TC-related deaths occurred worldwide. The age-standardized incidence rates (ASIRs) and age-standardized mortality rates (ASMRs) were higher in women (ASIR: 13.60 per 100,000; ASMR: 0.53 per 100,000) than in men (ASIR: 4.60 per 100,000; ASMR: 0.35 per 100,000). The ASIR in high HDI countries was approximately ten times higher than that in low HDI countries for both sexes, with relatively similar ASMR across regions. Among 185 countries, China had the largest number of TC cases (accounting for 56.77% of total cases) and TC-related deaths (accounting for 24.35% of global TC-related deaths), with the highest ASIR in men (13.30 per 100,000). Worldwide, approximately 64.63% of TC cases occurred in populations under 55 years old, while nearly 82.99% of TC-related deaths occurred in populations aged 55 years and above. If the rates stay the same as in 2022, it is projected that approximately 1,100,000 new TC cases and 91,000 TC-related deaths will occur in 2050, indicating a 34.15% and 89.58% increase, respectively.
Conclusions: TC is a highly frequent cancer worldwide with disparities across regions, genders, and age groups. Our results provide light on the worldwide TC disease burden and facilitate regionally customized prevention measures.
{"title":"Global burden of thyroid cancer in 2022: Incidence and mortality estimates from GLOBOCAN.","authors":"Zhangyan Lyu, Yu Zhang, Chao Sheng, Yubei Huang, Qiang Zhang, Kexin Chen","doi":"10.1097/CM9.0000000000003284","DOIUrl":"10.1097/CM9.0000000000003284","url":null,"abstract":"<p><strong>Background: </strong>Thyroid cancer (TC) is the most common malignancy of the endocrine system. This study aimed to assess the global distribution of TC incidence and mortality in 2022, as well as to predict the burden for the year 2050.</p><p><strong>Methods: </strong>Data from the GLOBOCAN 2022 database were used to analyze the age-standardized incidence and mortality rates of TC by sex, age group (<55 years and ≥55 years), country, world region, and level of Human Development Index (HDI) for 185 countries. The predicted incidence and mortality burden for 2050 was calculated based on demographic projections.</p><p><strong>Results: </strong>In 2022, an estimated 821,214 new TC cases and 47,507 TC-related deaths occurred worldwide. The age-standardized incidence rates (ASIRs) and age-standardized mortality rates (ASMRs) were higher in women (ASIR: 13.60 per 100,000; ASMR: 0.53 per 100,000) than in men (ASIR: 4.60 per 100,000; ASMR: 0.35 per 100,000). The ASIR in high HDI countries was approximately ten times higher than that in low HDI countries for both sexes, with relatively similar ASMR across regions. Among 185 countries, China had the largest number of TC cases (accounting for 56.77% of total cases) and TC-related deaths (accounting for 24.35% of global TC-related deaths), with the highest ASIR in men (13.30 per 100,000). Worldwide, approximately 64.63% of TC cases occurred in populations under 55 years old, while nearly 82.99% of TC-related deaths occurred in populations aged 55 years and above. If the rates stay the same as in 2022, it is projected that approximately 1,100,000 new TC cases and 91,000 TC-related deaths will occur in 2050, indicating a 34.15% and 89.58% increase, respectively.</p><p><strong>Conclusions: </strong>TC is a highly frequent cancer worldwide with disparities across regions, genders, and age groups. Our results provide light on the worldwide TC disease burden and facilitate regionally customized prevention measures.</p>","PeriodicalId":10183,"journal":{"name":"Chinese Medical Journal","volume":" ","pages":"2567-2576"},"PeriodicalIF":7.5,"publicationDate":"2024-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11557048/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142281182","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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